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SIGMOD 2022: Dissecting, Designing, and Optimizing LSM-based Data Stores (Tutorial)
DB4ML - An In-Memory Database Kernel with Machine Learning Support (SIGMOD'20)
Hamming Tree: Energy-Efficient Data Indexing | SIGMOD 2023
Dissecting, Designing, and Optimizing LSM-based Data Stores (Tutorial at SIGMOD 2022)
signSGD: compressed optimisation
End-to-end Optimization of Machine Learning Prediction Queries (SIGMOD 2022)
Demonstrating CatDB (Long) - SIGMOD 2025
iFlipper: Label Flipping for Individual Fairness (ACM SIGMOD 2023)
[SIGMOD 2020 Talk] Qd-tree: Learning Data Layouts for Big Data Analytics
[SIGMOD 2022 Research] Learned Cardinality Estimation: An In-depth Study
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Last Updated: August 15, 2026
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![[SIGMOD'22] CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases Dev Index](https://i.ytimg.com/vi/QlYZdXxs-qY/mqdefault.jpg)
![[SIGMOD 2020 Talk] Qd-tree: Learning Data Layouts for Big Data Analytics](https://i.ytimg.com/vi/KQ5vFyvinQ4/mqdefault.jpg)
![[SIGMOD 2022 Research] Learned Cardinality Estimation: An In-depth Study](https://i.ytimg.com/vi/RhjFcTlKRCc/mqdefault.jpg)
